Partial Least Squares Regression-Based Robust Forward Control of the Tableting Process

In this study, we established a robust feed-forward control model for the tableting process by partial least squares regression using the near-infrared (NIR) spectra and physical attributes of the granules to be compressed. The NIR spectra of granules are rich in information about chemical attribute...

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Vydáno v:	Pharmaceutics Ročník 12; číslo 1; s. 85
Hlavní autoři:	Hattori, Yusuke, Naganuma, Miki, Otsuka, Makoto
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 20.01.2020 MDPI
Témata:	Accuracy Automation Cellulose feed-forward control high-shear wet granulation Manufacturing Moisture content near-infrared spectroscopy partial least squares regression Particle size Pharmaceuticals Polymorphism Process controls process data analysis Product quality robust control Spectrum analysis tableting Japan Germany high-shear wet granulation near-infrared spectroscopy partial least squares regression robust control feed-forward control tableting process data analysis
ISSN:	1999-4923, 1999-4923
On-line přístup:	Získat plný text
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